Decision support system (Dss) fo

							Decision support system (Dss) for risk reDuction in Agriculture phAse ii: soybeAn Dss for eAstern pArAguAy AnD rio grAnDe Do sul
climate variability, particularly lack or excess of rainfall, is a major agricultural production risk. the el niño southern oscillation (enso) is the strongest known driver of interannual climate variability. enso phases are characterized by sea surface temperature anomalies in the eastern equatorial Pacific Ocean. When sea surface temperature is higher than normal the phenomenon is referred to as el niño, whereas la niña has lower than normal temperatures. el niño causes excess precipitation in subtropical southeastern south America, la niña reduces precipitation in southern brazil and eastern paraguay and central Argentina. GOALS • introduce producers in paraguay and brazil to the use of seasonal climate forecast as a strategy to reduce production risks associated with climate variability ACTIVITIES • conduct stakeholder surveys to better understand user needs and expectations (concluded in paraguay and brazil) • evaluate weather effects, related to enso, on soybean yields using crop simulation models • train researchers from paraguay and brazil in the use of crop simulation models • evaluate the feasibility of a web-based decision support system aimed at minimizing production risks associated with climate variability for producers in paraguay and brazil STATUS • surveys in paraguay and brazil in 2008 to identify producers’ information needs were conducted with some 90 producers in paraguay and with over 130 producers spread over brazil • A workshop “modeling Applications for Decision support in Agriculture” was held in brazil in oct. 2008 on the use of the csm-DssAt suite of crop models to analyze the effect of alternative climate scenarios and management practices on crop yield and development LINKS TO OTHER IAI PROJECTS contribution to the collaborative research network project on land use change in the rio de la plata basin: linking biophysical and human factors to understand trends, assess impacts and support viable strategies for the future (see crn2031). Lead agency and principal investigator university of florida - Agricultural and biological engineering Department (usA) Clyde Fraisse (PI) – cfraisse@ufl.edu http://www.agroclimate.org/fraisse Co-Investigators norman breuer (rsmAs, university of miami, usA), carlos Alberto forcelini (universidade de passo fundo, brazil), Julian baez (universidad catolica nuestra Señora de la Asunción, Paraguay), Willingthon Pavan (Universidade de Passo fundo, brazil), José mauricio fernandes (embrApA trigo, brazil), Dirceu gassen (cooplAntio, brazil), martín m. cubilla Andrada (soil conservation program, cApeco, paraguay), luis e. cubilla (production manager, cApeco, paraguay), edgar mayeregger (ministry of Agriculture, paraguay), Victor cabrera (university of Wisconsin, USA)
Julian baez talking to the members of the camara paraguaya de exportadores de cereales y oleaginosas (cApeco), paraguay soybean planted using no-till management practices in rio grande do sul, brazil

Grain crops production field in Rio Grande do Sul, Brazil

updated 2008